Ma Yuxia, Li Heping, Qin Pengpeng, Cheng Bowen, Feng Fengliu, Zhang Yifan, Jiao Haoran
College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
Liaoning Provincial Meteorological Bureau, Shenyang, 111100, China.
Environ Sci Pollut Res Int. 2023 Feb;30(8):21661-21670. doi: 10.1007/s11356-022-23622-4. Epub 2022 Oct 22.
Epidemiological studies have proven that extreme temperatures have a significant threat to public health. This study aimed to investigate the association between extreme temperatures and circulatory mortality from January 1, 2014, to December 31, 2016, in Harbin, a city with a cold climate in Northeast China. We set a maximum lag of 27 days to evaluate the hysteresis effects of different temperatures on circulatory mortality using a distributed lag nonlinear model (DLNM). Results indicated that daily mean temperature and circulatory mortality presented approximately an L-shaped, and the cumulative relative risks (RRs) decreased continuously as the temperature increased in both low and high temperatures. Extremely low temperature showed a hysteresis and durability on circulatory mortality, with the largest RR of 1.023 (95%CI: 1.001-1.046) at lag 26, and RR of the cumulative cold effect of 0-27 days was 1.302 (95%CI: 1.160-1.462). The effect of extremely high temperatures presented more acute and intense, with the largest RR of 1.033 (95%CI: 1.004-1.063) at lag 0. RR of the cumulative hot effect of 0-3 days was 1.056 (1.008-1.106). In addition, females were more susceptible to extremely low temperatures, while males were more vulnerable to extremely high temperatures. This study demonstrated that extremely low temperatures have a stronger effect on circulatory mortality than extremely high temperatures in Harbin.
流行病学研究已证明,极端温度对公众健康构成重大威胁。本研究旨在调查2014年1月1日至2016年12月31日期间,中国东北寒冷气候城市哈尔滨极端温度与循环系统疾病死亡率之间的关联。我们设置了27天的最大滞后时间,使用分布滞后非线性模型(DLNM)评估不同温度对循环系统疾病死亡率的滞后效应。结果表明,日平均温度与循环系统疾病死亡率大致呈L形,在低温和高温情况下,累积相对风险(RRs)均随温度升高而持续下降。极低温度对循环系统疾病死亡率显示出滞后性和持续性,在滞后26天时RR最大值为1.023(95%CI:1.001 - 1.046),0 - 27天累积寒冷效应的RR为1.302(95%CI:1.160 - 1.462)。极高温度的影响表现得更为急性和强烈,在滞后0天时RR最大值为1.033(95%CI:1.004 - 1.063),0 - 3天累积炎热效应的RR为1.056(1.008 - 1.106)。此外,女性对极低温度更敏感,而男性对极高温度更脆弱。本研究表明,在哈尔滨,极低温度对循环系统疾病死亡率的影响比极高温度更强。